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Mendeley readers
| Title |
A novel data mining system points out hidden relationships between immunological markers in multiple sclerosis
|
|---|---|
| Published in |
Immunity & Ageing, January 2013
|
| DOI | 10.1186/1742-4933-10-1 |
| Pubmed ID | |
| Authors |
Maira Gironi, Marina Saresella, Marco Rovaris, Matilde Vaghi, Raffaello Nemni, Mario Clerici, Enzo Grossi |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 46 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 23% |
| Student > Master | 7 | 15% |
| Researcher | 6 | 13% |
| Other | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 12 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 21% |
| Neuroscience | 5 | 10% |
| Computer Science | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Psychology | 4 | 8% |
| Other | 9 | 19% |
| Unknown | 12 | 25% |